Multiresidue analysis of pesticides in four different pomegranate cultivars: Investigating matrix effect variability by GC-MS/MS and LC-MS/MS

Damale, Rahul; Dutta, Anirban; Shaikh, Nasiruddin; Pardeshi, Anita; Shinde, Raviraj; Babu, Dhinesh; Gaikwad, Nilesh N.; Banerjee, Kaushik

doi:10.1016/j.foodchem.2022.135179

Cited by 29 publications

(6 citation statements)

References 30 publications

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“…These samples were from different cultivars (C2: Greenbelt and C3: Wangbelt) and grown in different regions, suggesting that the matrix effect may differ based on their variables, even for the same crop. Damale et al (2023) reported the same suggestion for other crops [ 11 ]. Thus, it is crucial to eliminate as many matrices as possible during sample preparation.…”

Section: Resultsmentioning

confidence: 53%

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LC-MS/MS Method Minimizing Matrix Effect for the Analysis of Bifenthrin and Butachlor in Chinese Chives and Its Application for Residual Study

Kim

Lee

Jeong

et al. 2023

Foods

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The matrix effect refers to the change in the analytical signal caused by the matrix in which the sample is contained, as well as the impurities that are co-eluted with the target analyte. In crop sample analysis using LC–MS/MS, the matrix effect can affect the quantification results. Chinese chives are likely to exhibit a strong matrix effect when co-extracted with bifenthrin and butachlor due to the presence of phytochemicals and chlorophyll. A novel analytical method was developed to reduce the matrix effects of bifenthrin and butachlor to a negligible level in Chinese chives. The established method had a limit of quantitation of 0.005 mg/kg and correlation coefficients greater than 0.999 within the range of 0.005–0.5 mg/kg. Matrix effects were found to be negligible, with values ranging from −18.8% to 7.2% in four different sources of chives and two leafy vegetables. Compared to conventional analytical methods for the LOQ and matrix effect, the established method demonstrated improved performances. The analytical method was further applied in a residual study in chive fields. The active ingredient of butachlor 5 granule (GR) was not detected after soil admixture application, while that of bifenthrin 1 emulsifiable concentrate (EC) showed a range from 1.002 to 0.087 mg/kg after foliar spraying. The dissipation rate constant (k) of bifenthrin was determined to be 0.115, thus its half-life was calculated to be 6.0 days. From the results, PHI and safety use standards of both pesticides were suggested. The developed analytical method can be applied to accurately determine bifenthrin and butachlor residues in Chinese chives and provides a foundation for further research on the fate and behavior of these pesticides in the environment.

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Section: Resultsmentioning

confidence: 53%

“…However, it is not easy to find the same blank samples in large-scale monitoring. Even for the same crop, the matrices may vary depending on the cultivars, resulting in different matrix effects [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

LC-MS/MS Method Minimizing Matrix Effect for the Analysis of Bifenthrin and Butachlor in Chinese Chives and Its Application for Residual Study

Kim

Lee

Jeong

et al. 2023

Foods

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“…Matrix effects (ME), represented by either enhancement or suppression of the ionization signals for the analytes in LC–MS/MS analysis, especially in ESI mode, is mainly caused by co–eluted substance in the matrix [ 41 ]. To evaluate the matrix, the slope of the matrix–matched calibration curves at seven concentration levels (1.0 ng/mL, 2.0 ng/mL, 5.0 ng/mL, 10.0 ng/mL, 20.0 ng/mL, 50.0 ng/mL, and 100.0 ng/mL) of ribavirin and its isotopic internal standard (50.0 ng/mL) was compared with those obtained in pure solvent, and matrix effect was evaluated according to previous report [ 42 ].…”

Section: Resultsmentioning

confidence: 99%

LC–MS/MS separation and quantitation of ribavirin in chicken and comparison of different mass spectrometric platforms

Xu,

Huang,

et al. 2023

BMC Chemistry

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A liquid chromatography–tandem mass spectrometry (LC–MS/MS) method was developed for the analysis of ribavirin in chicken. Samples was extracted with 0.1% formic acid and purified by Hypercarb cartridge prior to LC–MS/MS analysis. The eluates were evaporated to dryness, reconstituted in 1 mL 5mM ammonium acetate containing 5% acetonitrile (v/v) and 0.1% (v/v) formic acid. Chromatographic separation was performed on a Hypercarb analytical column under a gradient elution program with acetonitrile and 0.1% (v/v) formic acid in 5 mM ammonium acetate at a flow rate of 0.6 ml/min. The intraday and interday accuracy ranged from − 7.83 − 1.39%, and − 6.38 − 2.25%, with precisions between 1.34 − 3.88%% and 1.10 − 4.67%. The limits of detection (LODs) and limits of quantitation (LOQs) of ribavirin was 0.1 ng/mL and 0.5 ng/mL, respectively. The method was validated for linearity, accuracy, precision, matrix effect and stability. Application of the method confirmed 3 ribavirin positive samples out of 50 commercial chicken samples, with concentrations of ribavirin ranging from 0.9 μg/kg to 5.8 μg/kg a, respectively. Additionally, both AB Sciex 5500 and Agilent 6945B were proven to be suitable in ribavirin separation and quantification. The described method is suitable for the determination of ribavirin in chicken in analytical practice to monitor illegal addition of this kind of anti–viral drug.

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“…Pesticide detection is being carried out using a variety of traditional procedures. Examples include gas chromatography (GC), mass spectrometry (MS), GC‐MS, capillary electrophoresis (CE), immunoassay, and others [38–40] . Although the techniques described above are well‐established and widely used worldwide, they sometimes require long pre‐processing and specialized handling or are lengthy.…”

Section: Techniques In Pesticide Sensingmentioning

confidence: 99%

An Updated Review on Functionalized Graphene as Sensitive Materials in Sensing of Pesticides

Pratap Singh Raman,

Thakur,

Pandey

et al. 2024

Chemistry & Biodiversity

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Numerous chemical pesticides were employed for a long time to manage pests, but their uncontrolled application harmed the health and the environment. Accurately quantifying pesticide residues is essential for risk evaluation and regulatory purposes. Numerous analytical methods have been developed and utilized to achieve sensitive and specific detection of pesticides in intricate samples like water, soil, food, and air. Electrochemical sensors based on amperometry, potentiometry, or impedance spectroscopy offer portable, rapid, and sensitive detection suitable for on‐site analysis. This study examines the potential of electrochemical sensors for the accurate evaluation of various effects of pesticides. Emphasizing the use of Graphene (GR), Graphene Oxide (GO), Reduced Graphene Oxide (rGO), and Graphdiyne composites, the study highlights their enhanced performance in pesticide sensing by stating the account of many actual sensors that have been made for specific pesticides. Computational studies provide valuable insights into the adsorption kinetics, binding energies, and electronic properties of pesticide‐graphene complexes, guiding the design and optimization of graphene‐based sensors with improved performance. Furthermore, the discussion extends to the emerging field of biopesticides. While the GR/GO/rGO based sensors hold immense future prospects, their existing limitations have also been discussed, which need to be solved with future research.

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Multiresidue analysis of pesticides in four different pomegranate cultivars: Investigating matrix effect variability by GC-MS/MS and LC-MS/MS

Cited by 29 publications

References 30 publications

LC-MS/MS Method Minimizing Matrix Effect for the Analysis of Bifenthrin and Butachlor in Chinese Chives and Its Application for Residual Study

LC-MS/MS Method Minimizing Matrix Effect for the Analysis of Bifenthrin and Butachlor in Chinese Chives and Its Application for Residual Study

LC–MS/MS separation and quantitation of ribavirin in chicken and comparison of different mass spectrometric platforms

An Updated Review on Functionalized Graphene as Sensitive Materials in Sensing of Pesticides

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